• DocumentCode
    490424
  • Title

    Qmimic: Model-based monitoring and diagnosis

  • Author

    Vinson, Jonathan M. ; Ungar, Lyle H.

  • Author_Institution
    Dept. of Chemical Engineering, University of Pennsylvania, Philadelphia, PA 19104
  • fYear
    1993
  • fDate
    2-4 June 1993
  • Firstpage
    1880
  • Lastpage
    1884
  • Abstract
    Qmimic is a fault and noise tolerant monitoring and diagnosis system which detects faults by comparing observations with predictions from an approximate plant model. Because faults are difficult to predict and model, Qmimic uses qualitative and semi-quantitative models of faulty and normal plants which capture broad classes of behaviors. Faults are diagnose by a hypothesize and test mechanism which suggests changes to the current model of the plant, generate a plant model with a presumed fault, and tests the new model against the current readings. The system is tested on a simulated reactor with two controllers.
  • Keywords
    Chemical engineering; Diagnostic expert systems; Equations; Fault detection; Fault diagnosis; Inductors; Monitoring; Predictive models; Quality control; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1993
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-7803-0860-3
  • Type

    conf

  • Filename
    4793204